Co-Expression Network Models Suggest that Stress Increases Tolerance to Mutations

Co-Expression Network Models Suggest that Stress Increases Tolerance to Mutations

Network models are a well established tool for studying the robustness of complex systems, including modelling the effect of loss of function mutations in protein interaction networks. Past work has concentrated on average damage caused by random node removal, with little attention to the shape of the damage distribution. In this work, we use fission yeast co-expression networks before and afte...

Genome-Scale Metabolic Network Models of Bacillus Species Suggest that Model Improvement is Necessary for Biotechnological Applications

Background: A genome-scale metabolic network model (GEM) is a mathematical representation of an organism’s metabolism. Today, GEMs are popular tools for computationally simulating the biotechnological processes and for predicting biochemical properties of (engineered) strains.Objectives: In the present study, we have evaluated the predictive power of two ...

Induced Mutations for Traits that Affect Abiotic Stress Tolerance and Adaptation to Climate Change

By the availability of various mutant resources in Arabidopsis, it is now possible to investigate mutant lines for almost every gene. Arabidopsis is then, not only a model plant for plant research, but also a model species in which it is possible to carry out " saturation mutagenesis " for all genes, and to totally analyze each gene and mutant of one organism. One of the future goals of the " p...

Genetic Mutations that Cause Coronary Artery Disease

Using emotional intelligence to predict job stress: Artificial neural network and regression models

Introduction: These days, there is a consensus that emotional intelligence plays an important role in the success of individuals in different areas of life. Persons with higher emotional intelligence had lower stress in dealing with demands and pressures in the workplace. The purpose of this study was to use artificial neural network to predict job stress and to compare the performance of this ...